176 research outputs found
High-tech industries in China and Russia: present situation and impact on economic development
Full text linkThe competition of major countries in the world is mainly the competition of technological innovation, and technological innovation is manifested through high technology. In recent years, the competition of high-tech industries has become the world's major economies stepping up to seize the commanding heights of the new round of technological revolution and high-tech industries. This article provides a comparative analysis of the current situation of high-tech industry development in China and Russia. China and Russia have their advantages in the development of high-tech industries, but they are also different. China's high-tech industries are relatively large in scale and develop at a faster rate, and exceeded Russia in the exports, the proportion of exports in manufacturing, and R&D expenditures. But the proportion of scientific research personnel in China is far lower than in Russia. So China and Russia should take corresponding measures to develop high-tech industries
Spotlight on FAM72B: Pan-Cancer Expression Profiles and Its Potential as a Prognostic and Immunotherapeutic Biomarker
No full textBackground/Objectives: FAM72B (Family with sequence similarity 72 member B) is a gene whose function is not yet fully elucidated and which belongs to the FAM72 gene family. Recent studies have indicated that it is involved in the regulation of stem cell proliferation and DNA repair and serves as a valuable prognostic biomarker for a few types of cancer. This study aimed to systematically investigate the expression profile of FAM72B in pan-cancer, its role in the tumor immune microenvironment, and its potential as a prognostic and immunotherapeutic biomarker. Methods: Using bioinformatics tools such as SangerBox3.0, GEPIA2.0, Kaplan–Meier Plotter, and cBioPortal, we systematically analyzed the correlation of FAM72B expression levels with various cancer types, clinical pathological parameters, prognostic value, genetic mutations, genomic heterogeneity, immune checkpoint genes, immune cell infiltration levels, and single-cell-level characteristics. Results:FAM72B was found to be overexpressed in most cancers and significantly associated with poor prognosis, although it may exert a protective effect in some cancers like thymoma (THYM). Its expression level was positively correlated with tumor mutation burden (TMB), microsatellite instability (MSI), neoantigen (NEO) levels, and expression of immune checkpoint genes in most cancers, suggesting that patients with high FAM72B expression may respond better to immune checkpoint inhibitors. Moreover, FAM72B expression was significantly correlated with the infiltration levels of various immune cells in the tumor immune microenvironment across pan-cancer. Single-cell sequencing results also demonstrated a significant correlation between FAM72B and the biological functional states of multiple cancers. Conclusions:FAM72B holds promise as a potential pan-cancer prognostic biomarker and therapeutic target, providing a novel basis for the development of personalized treatment strategies
The Common Element Effect of Abstract-to-Abstract Mapping in Language Processing
No full textSince the 1990s, there has been much discussion about how concepts are learned and processed. Many researchers believe that the experienced bodily states (i.e., embodied experiences) should be an important factor that affects concepts’ learning and use, and metaphorical mappings between abstract concepts, such as TIME and POWER, and concrete concepts, such as SPATIAL ORIENTATION, STRUCTURED EXPERIENCEs, etc., suggest the abstract-concrete concepts’ connections. In most of the recent literature, we can find common elements (e.g., concrete concepts) shared by different abstract-concrete metaphorical expressions. Therefore, we assumed that mappings might also be found between two abstract concepts that share common elements, though they have no symbolic connections. In the present study, two lexical decision tasks were arranged and the priming effect between TIME and ABSTRACT ACTIONs was used as an index to test our hypothesis. Results showed a robust priming effect when a target verb and its prime belonged to the same duration type (TIME consistent condition). These findings suggest that mapping between concepts was affected by common elements. We propose a dynamic model in which mappings between concepts are influenced by common elements, including symbolic or embodied information. What kind of elements (linguistic or embodied) can be used would depend on how difficult it is for a concept to be learned or accessed
- …
